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Cloud Analytics with Microsoft Azure

Cloud Analytics with Microsoft Azure

Build modern data warehouses with the combined power of analytics and Azure

by Has AltaiarJack Lee and Michael Pena
Paperback
Publication Date: 26/11/2019
  $78.74
This item qualifies for FREE delivery
Leverage the power of Azure to get efficient data insights from your big data in real time

Key Features

Explore the basics of cloud analytics using Azure
Discover different ways to process and visualize your data easily
Learn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insights

Book DescriptionWith data being generated at an exponential speed, organizations all over the world are migrating their infrastructure to the cloud. Application management becomes much easier when you use a cloud platform to build, manage, and deploy your services and applications.

Cloud Analytics with Microsoft Azure covers all that you need to extract useful insights from your data. You'll explore the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You'll also delve into data analytics by studying use cases that focus on creating actionable insights from near-real-time data. As you advance, you'll learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts.

By the end of this book, you'll have developed a solid understanding of data analytics with Azure and its practical implementation.

What you will learn

Explore the concepts of modern data warehouses and data pipelines
Discover different design considerations while applying a cloud analytics solution
Design an end-to-end analytics pipeline on the cloud
Differentiate between structured, semi-structured, and unstructured data
Choose a cloud-based service for your data analytics solutions
Use Azure services to ingest, store and analyze data of any scale

Who this book is forIf you're planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations that you must keep in mind. Though not necessary, a basic understanding of data analytics concepts such as data streaming, data types, the machine learning life cycle, and Docker containers will help you get the most out of the book.
ISBN:
9781839216404
9781839216404
Category:
Data capture & analysis
Format:
Paperback
Publication Date:
26-11-2019
Publisher:
Packt Publishing Limited
Country of origin:
United Kingdom
Pages:
242
Dimensions (mm):
93x75mm

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